# pydicom_PIL.py 
"""View DICOM images using Python image Library (PIL)

Usage:
>>> import dicom
>>> from dicom.contrib.pydicom_PIL import show_PIL
>>> ds = dicom.read_file("filename")
>>> show_PIL(ds)

Requires Numpy:  http://numpy.scipy.org/ 
and Python Imaging Library:   http://www.pythonware.com/products/pil/ 

"""
# Copyright (c) 2009 Darcy Mason, Adit Panchal
# This file is part of pydicom, relased under an MIT license.
#    See the file license.txt included with this distribution, also
#    available at http://pydicom.googlecode.com

# Based on image.py from pydicom version 0.9.3, 
#    LUT code added by Adit Panchal
# Tested on Python 2.5.4 (32-bit) on Mac OS X 10.6 
#    using numpy 1.3.0 and PIL 1.1.7b1 

have_PIL=True
try:
    import PIL.Image
except:
    have_PIL = False

have_numpy=True
try:
    import numpy as np
except:
    have_numpy = False

have_numpy=True
try:
    import numpy as np
except:
    have_numpy = False

def get_LUT_value(data, window, level):
    """Apply the RGB Look-Up Table for the given data and window/level value."""
    if not have_numpy:
        raise ImportError, "Numpy is not available. See http://numpy.scipy.org/ to download and install"

    return np.piecewise(data, 
        [data <= (level - 0.5 - (window-1)/2),
            data > (level - 0.5 + (window-1)/2)],
            [0, 255, lambda data: ((data - (level - 0.5))/(window-1) + 0.5)*(255-0)])

def get_LUT_value(data, window, level):
    """Apply the RGB Look-Up Table for the given data and window/level value."""
    if not have_numpy:
        raise ImportError, "Numpy is not available. See http://numpy.scipy.org/ to download and install"

    return np.piecewise(data, 
        [data <= (level - 0.5 - (window-1)/2),
            data > (level - 0.5 + (window-1)/2)],
            [0, 255, lambda data: ((data - (level - 0.5))/(window-1) + 0.5)*(255-0)])

# Display an image using the Python Imaging Library (PIL)
def show_PIL(dataset):
    if not have_PIL:
        raise ImportError, "Python Imaging Library is not available. See http://www.pythonware.com/products/pil/ to download and install"
    if ('PixelData' not in dataset):
        raise TypeError, "Cannot show image -- DICOM dataset does not have pixel data"    
    if ('WindowWidth' not in dataset) or ('WindowCenter' not in dataset): # can only apply LUT if these values exist
        bits = dataset.BitsAllocated
        samples = dataset.SamplesperPixel
        if bits == 8 and samples == 1:
            mode = "L"
        elif bits == 8 and samples == 3:
            mode = "RGB"
        elif bits == 16:
            mode = "I;16" # not sure about this -- PIL source says is 'experimental' and no documentation. Also, should bytes swap depending on endian of file and system??
        else:
            raise TypeError, "Don't know PIL mode for %d BitsAllocated and %d SamplesPerPixel" % (bits, samples)
        
        # PIL size = (width, height)
        size = (dataset.Columns, dataset.Rows)
        
        im = PIL.Image.frombuffer(mode, size, dataset.PixelData, "raw", mode, 0, 1) # Recommended to specify all details by http://www.pythonware.com/library/pil/handbook/image.htm

    else:
        image = get_LUT_value(dataset.pixel_array, dataset.WindowWidth, dataset.WindowCenter)
        im = PIL.Image.fromarray(image).convert('L') # Convert mode to L since LUT has only 256 values: http://www.pythonware.com/library/pil/handbook/image.htm

    im.show()
        
